Deep learning is a highly compute- and data-intensive category of tasks with wide applicability in science as well as industry. Join Paola Buitrago and Joel Welling from the Pittsburgh Supercomputing Center in two talks that will provide an overview of the current deep learning landscape and examples of the deep learning environments available to XSEDE users. Paola will provide a brief history of the field and an update on its technical performance, with examples from domains as diverse as vision and theorem proving. Joel will follow with a description of the PSC's support for two major deep learning packages, TensorFlow and Caffe.